Machine Learning for Protein Subcellular Localization Prediction
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| Title: | Machine Learning for Protein Subcellular Localization Prediction |
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| Description: | Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction. |
| Authors: | Shibiao Wan, Man-Wai Mak |
| Resource Type: | eBook. |
| Subjects: | Probabilities--Data processing, Artificial intelligence, Proteins--Physiological transport--Data processing, Machine learning, Probabilities |
| Categories: | TECHNOLOGY & ENGINEERING / Signals & Signal Processing, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | Comprehensively covers protein subcellular localization from single-label prediction to multi-label prediction, and includes prediction strategies for virus, plant, and eukaryote species. Three machine learning tools are introduced to improve classification refinement, feature extraction, and dimensionality reduction. |
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| ISBN: | 9781501510489 9781501501500 9781501501524 9781501501517 |
